Download index.html from a2genesis/README: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/spaces/a2genesis/README/resolve/main/index.html
- Command line
-
hf download hf://spaces/a2genesis/README/index.html
-
curl -L -o index.html https://huggingface.co/spaces/a2genesis/README/resolve/main/index.html
2.1 kB
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <title>A2Genesis</title> | |
| <style> | |
| :root { color-scheme: light dark; } | |
| body { margin: 0; background: transparent; font-family: ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, sans-serif; font-size: 15px; line-height: 1.6; color: #1f2937; } | |
| h2 { font-size: 13px; text-transform: uppercase; letter-spacing: .07em; margin: 22px 0 8px; color: #111827; } | |
| p { margin: 0 0 14px; } | |
| ul { margin: 0 0 14px; padding-left: 20px; } | |
| li { margin-bottom: 6px; } | |
| a { color: #2563eb; } | |
| code { font-family: ui-monospace, SFMono-Regular, Menlo, monospace; font-size: 13px; background: #f3f4f6; padding: 1px 4px; border-radius: 4px; } | |
| .note { font-size: 13px; opacity: .7; } | |
| @media (prefers-color-scheme: dark) { | |
| body { color: #d1d5db; } | |
| h2 { color: #f3f4f6; } | |
| a { color: #93c5fd; } | |
| code { background: #374151; } | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <p><strong>A2Genesis</strong> is an independent software studio in Bochum, Germany. We build custom applications and run language models on our own hardware.</p> | |
| <p>Here we publish quantized checkpoints of open-weight models. The quantization recipe, the calibration data and the serving configuration are documented in every model card, so a result can be reproduced rather than taken on trust.</p> | |
| <h2>Models</h2> | |
| <ul> | |
| <li><a href="https://huggingface.co/a2genesis/Qwen3.8-27B-NVFP4" target="_blank">Qwen3.8-27B-NVFP4</a> — NVFP4 (W4A16) quantization of <code>Qwen/Qwen3.8-27B</code>, produced with NVIDIA TensorRT Model Optimizer 0.45. About 21 GB instead of 55 GB, so it fits on a single GPU. Apache 2.0.</li> | |
| </ul> | |
| <h2>Focus</h2> | |
| <ul> | |
| <li>Post-training quantization (NVFP4, FP8, NVIDIA ModelOpt)</li> | |
| <li>Self-hosted inference with vLLM and SGLang</li> | |
| <li>AI-native application development</li> | |
| </ul> | |
| <p><a href="https://a2genesis.de" target="_blank">a2genesis.de</a></p> | |
| <p class="note">Not affiliated with or endorsed by NVIDIA or the Qwen team. NVIDIA and TensorRT are trademarks of NVIDIA Corporation.</p> | |
| </body> | |
| </html> | |